SAP ups its in-memory computing ante

SAP announced a new wave of specialized in-memory applications

By , IDG News Service |  Software, Analytics, SAP

SAP strengthened its eager embrace of in-memory computing on Wednesday, announcing plans for a series of applications that include programs it calls previously "unimaginable" as well as some that overhaul existing software.

In-memory computing moves data off of traditional storage and into RAM, providing a performance boost over reading data off disks. SAP's in-memory data processing engine is the brainchild of co-founder Hasso Plattner and at the core of the HANA (High-Performance Analytic Appliance) that SAP released last year.

"An entirely new way to construct applications is in front of us, and it is without compromise," said SAP executive board member Vishal Sikka during an event in Boston on Wednesday.

New in-memory applications planned for release this year include a tool for helping operations and marketing departments work together more efficiently, SAP said.

Another new offering will help finance workers crunch data from open invoices and determine, using both current and historical data, the type of discount terms a given customer should receive.

A third planned release will provide analytics for smart meters, SAP said.

SAP is also planning to revamp its Trade Promotion Management and Cash and Liquidity Management applications using in-memory technology.

Overall, the announcements are a continuation of SAP's previously stated plans to release specialized analytic software meant to sit alongside a customer's existing ERP (enterprise resource planning) installation, pulling in data in real-time. The company announced an initial release, Strategic Workforce Planning, late last year.

Although SAP has repeatedly touted HANA's high performance, it has other goals in mind as well, such as making it easier to deliver analytics to end users.

SAP demonstrated a number of upcoming tools, including a graphical report builder that one executive dubbed "a blank canvas for analytics."

Using it, a worker could make natural language queries for business data, such as "sales per country," which would then be served up from a back-end information store. Then, the user could make simple drawings that would generate various visualizations of that data. For example, drawing a circle would generate a pie chart.

In-memory computing also stands to cut down on complexity in IT environments, Sikka said.

He described a customer that is running SAP's Business Warehouse, Oracle databases, specialized hardware and SAP Business Objects software for BI. SAP's in-memory approach could reduce the number of required layers, he said.

The in-memory applications SAP is building amount to "a new cartridge inside of HANA," Sikka said.

Join us:
Facebook

Twitter

Pinterest

Tumblr

LinkedIn

Google+

Answers - Powered by ITworld

Join us:
Facebook

Twitter

Pinterest

Tumblr

LinkedIn

Google+

Ask a Question
randomness